Paper Title :Identification of Diseases in Leaves using Machine Vision
Author :P.T.Vanathi, M.Preethi, G. Sreeja Reddy
Article Citation :P.T.Vanathi ,M.Preethi ,G. Sreeja Reddy ,
(2017 ) " Identification of Diseases in Leaves using Machine Vision " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 41-45,
Volume-5,Issue-4
Abstract : This paper presents an approach of using image processing techniques for early detection of plant leaf diseases.
Disease in crops cause significant reduction in quality of the agricultural product. It is difficult for farmer to identify
symptoms of disease by naked eye. In this process image processing techniques are used to capture digital image by camera
and applied to ostu’s and k-means algorithms. Segmentation of image by ostu’s gives less accuracy than k-means and
extracting the features from segmented classes i.e shape and color features. Finally classification is performed using
Support Vector Machine (SVM). Thus image processing techniques are used for detecting diseases on leaves early and
accurately.
Keywords - plant diseases; ostu’s and k-means algorithms; color features; SVM;
Type : Research paper
Published : Volume-5,Issue-4
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-7661
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Published on 2017-06-19 |
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